Backed by over £15 million funding, the University of Oxford is establishing a new Centre for Doctoral Training (CDT) that will combine the university’s strengths in artificial intelligence (AI), machine learning, Big Data, and environmental sciences. Over an initial eight years, The UKRI AI Centre for Doctoral Training in AI for the Environment (The Intelligent Earth Centre) will train almost 100 PhD students to develop and apply cutting-edge AI technologies to tackle urgent environmental crises.
The Centre involves the following University of Oxford Departments: Physics, Biology, Computer Science, Earth Sciences, Engineering Science, Statistics, and the School of Geography and the Environment. It is a collaboration with the following non-academic partners: IBM, Google, DeepMind, NVIDIA, ESA, Planet, Met Office, Frontier Development Lab, UK Centre for Ecology & Hydrology, National Centre for Atmospheric Science, On the Edge, Natural State, ConservationXLabs, and Satellite Applications Catapult.
Applications for postgraduate study are now open for 2027–28 entry
Postgraduate study at Oxford Statistics offers the chance to work across a broad range of research, from statistical theory and methodology, probability and machine learning to applications in areas including genetics, epidemiology, computational biology, finance and the social sciences.
Tom Rainforth awarded full Professorial title
Tom Rainforth has been awarded the title of Professor of Statistics and, as of 1 September 2026, is also a Fellow of Jesus College.
What does a statistician do for the England football team?
From squad selection to modelling how footballs behave at altitude, statistician Matt Penn explains how data is helping shape the modern game, and why coaches will always matter more than the numbers.